Shanghai Institute of Pollution Control and Ecological Security, College of Environmental Science and Engineering, Tongji University, Siping Road, Shanghai 200092, PR China.
Shanghai Institute of Pollution Control and Ecological Security, College of Environmental Science and Engineering, Tongji University, Siping Road, Shanghai 200092, PR China; UN Environment-Tongji Institute of Environment for Sustainable Development, Siping Road, Shanghai 200092, PR China.
Sci Total Environ. 2019 Mar 15;656:1401-1412. doi: 10.1016/j.scitotenv.2018.11.273. Epub 2018 Nov 19.
In recent years, water leakage problems in water distribution networks (WDN) have been attracting more attention, with an emphasis on energy and water resources. As one of the measures used for flow monitoring and leakage control, water network sectorization is a research hotspot in China. This paper, which begins with an introduction of present sectorization methods, proposes a multi-objective optimization sectorization method based on a comprehensive consideration of the hydraulics, water quality and economy. This method is based on the non-dominated sorting genetic algorithm (NSGA-II) which is a heuristic algorithm for multi-objective optimization to obtain the optimal schemes. In addition, human experience is also considered in the optimization process. In a case study, this method proves to be efficient in producing good results with little impact on the hydraulics and water quality of the WDN, and the results obtained are acceptable for multiple objectives. Therefore, this method provides references for the transformation of future water distribution network sectorization.
近年来，供水管网（WDN）的漏水问题越来越受到关注，重点是能源和水资源。作为用于流量监测和泄漏控制的措施之一，水网络分区化是中国的一个研究热点。本文从介绍现有的分区方法开始，提出了一种基于综合考虑水力学、水质和经济性的多目标优化分区方法。该方法基于非支配排序遗传算法（NSGA-II），这是一种用于多目标优化的启发式算法，以获得最优方案。此外，在优化过程中还考虑了人的经验。在案例研究中，该方法在对供水管网的水力学和水质影响较小的情况下，能够有效地产生良好的结果，并且获得的结果在多个目标方面是可以接受的。因此，该方法为未来供水管网分区的改造提供了参考。
